Salilew Waleligne Molla, Abdul Karim Zainal Ambri, Lemma Tamiru Alemu, Fentaye Amare Desalegn, Kyprianidis Konstantinos G
Mechanical Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia.
Centre for Automotive Research and Electric Mobility (CAREM), Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia.
Entropy (Basel). 2022 Jul 31;24(8):1052. doi: 10.3390/e24081052.
The gas turbine was one of the most important technological developments of the early 20th century, and it has had a significant impact on our lives. Although some researchers have worked on predicting the performance of three-shaft gas turbines, the effects of the deteriorated components on other primary components and of the physical faults on the component measurement parameters when considering the variable inlet guide valve scheduling and secondary air system for three-shaft gas turbine engines have remained unexplored. In this paper, design point and off-design performance models for a three-shaft gas turbine were developed and validated using the GasTurb 13 commercial software. Since the input data were limited, some engineering judgment and optimization processes were applied. Later, the developed models were validated using the engine manufacturer's data. Right after the validation, using the component health parameters, the physical faults were implanted into the non-linear steady-state model to investigate the performance of the gas turbine during deterioration conditions. The effects of common faults, namely fouling and erosion in primary components of the case study engine, were simulated during full-load operation. The fault simulation results demonstrated that as the severity of the fault increases, the component performance parameters and measurement parameters deviated linearly from the clean state. Furthermore, the sensitivity of the measurement parameters to the fault location and type were discussed, and as a result they can be used to determine the location and kind of fault during the development of a diagnosis model.
燃气轮机是20世纪早期最重要的技术发展之一，并且它对我们的生活产生了重大影响。尽管一些研究人员致力于预测三轴燃气轮机的性能，但在考虑三轴燃气轮机发动机的可变进口导叶调度和二次空气系统时，部件性能恶化对其他主要部件的影响以及物理故障对部件测量参数的影响仍未得到探索。本文使用GasTurb 13商业软件开发并验证了三轴燃气轮机的设计点和非设计工况性能模型。由于输入数据有限，应用了一些工程判断和优化过程。随后，使用发动机制造商的数据对所开发的模型进行了验证。验证之后，利用部件健康参数将物理故障植入非线性稳态模型，以研究燃气轮机在性能恶化情况下的性能。在满负荷运行期间模拟了案例研究发动机主要部件中常见故障（即结垢和侵蚀）的影响。故障模拟结果表明，随着故障严重程度增加,部件性能参数和测量参数与清洁状态呈线性偏差。此外，还讨论了测量参数对故障位置和类型的敏感性，结果表明它们可用于在诊断模型开发过程中确定故障的位置和类型。
